M. A. or Master of Arts is a 2-year programme and is considered among those courses which are coequally sought after in distance mode of education in India. Although B. A. graduates mostly pursue M. A. courses, however the general qualification for distance M. A. is having a bachelor’s degree in any discipline. There is no age bar for M.A. correspondence courses. Master of Arts (M.A) distance education is usually preferred by the working professionals, who are willing to upgrade their academic qualification without being able to attend regular courses. After completion of M. A., career progression can further be enhanced through Ph. D. or research scholarship.
Distance education M. A. is offered by different universities on various subjects e.g. English, Economics, Geography, Sanskrit, Psychology, Sociology and many others. The average cost for distance education M. A. in India, varies from Rs. 12,000 to Rs. 25,000 and that includes examination fees etc. The employment opportunities with distance M. A. education, open in both public and private sectors like educational institutions, journalism and media, administration and different public services. There are numerous universities offering M. A. correspondence courses and you can get admission through university postal or postal application. The distance education M. A. degree is going to help you to groom your career and credentials.
Machine Learning Specialization
The Machine Learning Specialization is a foundational online program created in collaboration between DeepLearning.AI and Stanford Online. This beginner-friendly program will teach you the fundamentals of machine learning and how to use these techniques to build real-world AI applications.
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The Deep Learning Specialization is a foundational program that will help you understand the capabilities, challenges and consequences of deep learning and prepare you to participate in the development of leading-edge AI technology. In this Specialization, you will build and train neural network architectures such as Convolutional Neural Networks, Recurrent Neural Networks, LSTMs, Transformers and learn how to make them better with strategies such as Dropout, BatchNorm, Xavier/He initialization and more.
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Prompt Engineering (Generative AI)
Learn to augment and amplify your human creativity and critical thinking with Generative AI. By the end of the course, you will be able to use Generative AI as an exoskeleton for your mind. In this hands-on specialization, you will learn how to tap into the emerging capabilities of large language models to automate tasks, increase productivity, and augment human intelligence.
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